This paper presents the results of the assessment of the developed techniques for line-based and combined point/line-based eight parameters projective equations. The developed equations were implemented in a general least squares adjustment technique where both lines and/or points can be used for the rectification of both aerial and satellite images. Several experiments were performed using the...

The humid tropical region is always under partial or complete cloud covers. As a result, optical remote sensing images of this region always encounter the problem of cloud covers and associated shadows. In this paper, an operational system for producing cloud-free and cloud shadow-free image mosaics from cloudy optical satellite imagery is presented. The inputs are several cloudy images of the ...

For the years 1997 to 2000 it is expected that a number of new satellites will be launched into orbit by private companies which are specified to deliver panchromatic imagery of the earth surface with a spatial resolution as fine as 1m. In contrast to the panchromatic band, the spectrally resolved bands will have a four times coarser ground resolution. Therefore, image fusion algorithms will be...

remotely sensed imagery is proving to be a useful tool to estimate water depths in coastalzones. bathymetric algorithms attempt to isolate water attenuation and hence depth from other factors byusing different combinations of spectral bands. in this research, images of absolute bathymetry using twodifferent but related methods in a region in the southern caspian sea coasts has been produced. th...

The measurement of ground control points is an important task for the absolute orientation of stereo models, for digital aerial triangulation or for the registration of satellite imagery. In the Digital Photogrammetric Systems existing today this task is usually completely performed by a human operator. There exist, however, methods, that can identify and/or localize control points or control s...

Virtual reconstruction of large landscapes from satellite imagery can be a time-consuming task due to the number of objects that must be extracted. Poor image resolution and noise hinder automatic detection processes and thus must be corrected by the user. This paper describes an application that allows the user to guide the automatic detection of trees from satellite imagery and spatial vegeta...

This study presents a new visualization tool for classification of satellite imagery. Visualization of feature space allows exploration of patterns in the image data and insight into the classification process and related uncertainty. Visual Data Mining provides added value to image classifications as the user can be involved in the classification process providing increased confidence in and u...

Due to unconstrained illumination conditions, noise, atmospheric pressure and temperature fluctuations; quality of image is affected. Extraction of roads from digital aerial/satellite imagery is not only scientifically challenging but also of major importance for data acquisition and update of geographic information system (GIS), databases or site models and thus can be a big help in car naviga...